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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Modellierung von Aktienkursen im Lichte der Komplexitätsforschung

Kauper, Benjamin, Kunze, Karl-Kuno January 2011 (has links)
This paper offers empirical evidence on the power of Sornette et al's [2001] model of bubbles and crashes regarding the German stock market between 1960 and 2009. We identify relevant time periods and describe them with the function given by Sornette et al's model. Our results show some evidence in predicting crashes with the understanding of logarithmic periodic structures that are hidden in the stock price trajectories. It was shown that for the DAX most of the relevant parameters determining the shape of the logarithmic periodic structures are lying in the expected interval researched by Sornette et al. Further more the paper implicitly shows that the point of time of former crashes can be predicted with the presented formula. We conclude that the concept of financial time series conceived as purely random objects should be generalised as to admit complexity.
2

Comparison and Optimization of Insonation Strategies for Contrast Enhanced Ultrasound Imaging

Narasimha Reddy, Vaka January 2012 (has links)
Evolution of vulnerable carotid plaques are crucial reason for cerebral ischemic strokes and identifying them in the early stage can become very important in avoiding the risk of stroke. In order to improve the identification and quantification accuracy of infancy plaques better visualization techniques are needed. Improving the visualization and quantification of neovascularization in carotid plaque using contrast enhanced ultrasound imaging still remains a challenging task. In this thesis work, three optimization techniques are proposed, which showed an improvement in the sensitivity of contrast agents when compared to the conventional clinical settings and insonation strategies. They are as follows:1) Insonation at harmonic specific (2nd harmonic) resonance frequency instead of resonance frequency based on maximum energy absorption provides enhanced nonlinear contribution.2) At high frequency ultrasound imaging, shorter pulse length will provide improved harmonic signal content when compared to longer pulse lengths. Applying this concept to multi- pulse sequencing (Pulse Inversion and Cadence contrast pulse sequencing) resulted in increased magnitude of the remaining harmonic signal after pulse summations.3) Peak negative pressure optimization of Pulse Inversion and Cadence contrast pulse sequencing was showed to further enhance the nonlinear content of the backscattered signal from contrast microbubbles without increasing the safety limits, defined by the mechanical index.The results presented in this thesis are based on computational modeling (Bubblesim software) and as a future continuation we plan to verify the simulation results with vitro studies.
3

A Comparison between Singleton and Portfolio Patent Valuation in Auction Mode of Patent Transaction

Vimalnath, Pratheeba January 2016 (has links) (PDF)
Patents have become a direct source of revenue, apart from providing legal protections for inventions. A patent generates revenue in its patented form through licensing or sell-out. Three challenges confront this shift in use of patents as direct revenue generators especially in the context of patent sale. First, the challenge of estimating the price a patent fetches in a sale (referred as ‗patent value‘) remains scarcely addressed owing to the intangible nature of patents and lack of patent sale data in public domain. Secondly, the variations in price and the method used to estimate the price while selling a patent individually (called as a singleton) or in a group along with other patents (called as portfolio) are little understood. Thirdly, literature focus so far has been on the static dimensions of patent value determinants leaving scope for researching the time varying dynamic nature of potential value determinants. This thesis aims to systematically address the above challenges and research gaps through five specific research objectives pertaining to the following four aspects of patent sale: (1) Successful sale aspect of patent lots in an auction (Research objective 1) Research objective 1: To explore the determinants of successful sale of singletons and portfolios. (2) Selling strategy aspect of the sold patents (Research objective 2) Research objective 2: To characterize the singleton and portfolio patent lots successfully sold in an auction. (3) Time dynamic aspect of factors influencing price (Research objectives 3 & 4) Research objective 3: To investigate the effect of time dynamic nature of patent age on the selling prices of singletons and portfolios. Research objective 4: To understand the effect of time dynamic trend of technological importance (TI) and patent class trend on selling prices of singletons and portfolios. (4) Valuation aspect (Research objective 5) Research objective 5: To identify the determinants of selling prices of singletons and portfolios. In this thesis, we use a combination of patent bibliometric and market based approach to study various aspects of singleton and portfolio patent sale incorporating the time dynamic aspect. A set of US patents auctioned by an US auction firm, called Ocean Tomo, is used as sample. The sample was dominated by patents from Computer & Communication field. The research findings showed significant differences in the characteristics of sold and unsold lots both in the case of singletons and portfolios. Amongst the sold lots, singletons were found to include more novel (lesser patent backward citations) and technology specific (higher C&C technology scope) patents than the portfolios sold. Further investigation on the variation in selling prices fetched by singletons and portfolios showed portfolios fetching significantly higher prices than singletons at the lot level. Interestingly, at a granular level, the equation reversed with singletons showing significantly higher price compared to the average price per individual US patent member within the portfolio. Along the time dynamic aspect, the existence of an optimal age to sell patents for higher prices is evidenced especially in the case of singletons from C&C technology field. The optimal age was found to be around 10 year 2 months of age from grant of singletons. No such optimal age was identified for portfolios. The growth trend analysis of the forward citations (technological importance of patent) and the patent applications filed within the specific patent class of a patent (attractiveness of patent class) illustrated the significance of the patent class trend in explaining variation in selling price of singletons. Finally, the valuation models of singletons and portfolios showed singletons being valued more on the patent related characteristics unlike portfolios which were valued based on the all three aspects – patent, seller and bundling. In summary, the novelty of the thesis resides in the (1) incorporation of new set of variables namely forward citation diversity, forward citations trend, patent class trend, technology scope and portfolio type in understanding patent price (2) treatment of time dynamic variables in understanding patent value and (3) focus on portfolio analysis through independent analysis of singleton and portfolio selling prices.

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